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1. What is deep learning? What can deep learning do that traditional machine-learning methods cannot?
2. List and briefly explain different learning paradigms/ methods in AI.
3. What is representation learning, and how does it relate to machine learning and deep learning?
4. List and briefly describe the most commonly used ANN activation functions.
5. What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.
Exercise
Cognitive computing has become a popular term to define and characterize the extent of the ability of machines/ computers to show "intelligent" behavior. Thanks to IBM Watson and its success on Jeopardy!, cognitive computing and cognitive analytics are now part of many realworld intelligent systems. In this exercise, identify at least three application cases where cognitive computing was used to solve complex real-world problems. Summarize your findings in a professionally organized report.
Does GDP measurement include non-market activities and non-reported income? if so, do these underestimate or overestimate GDP measure?
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It is sometimes said that information extracted from a router or switch does not necessarily provide specific evidence of a particular crime.
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The purpose of this assignment is to provide a chance for the student to examine an existing organization and apply research to identify opportunities.
In the age of globalization, currency risk is a concern. If you are in the export business in the United States, would you prefer a strong dollar or a weak dollar?
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Research the variety of enumeration tools available. Select one tool and explain what it does, how it works, and what type of information it extracts
What Benefits Has BIOCO Realized From Its Use Of Balanced Scorecards?
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